Evidence map›Paper›PMID 21712189›Full record

ArticleHuman genomics2011

Analysis of pharmacogenetic traits in two distinct South African populations.

Ogechi Ikediobi, Bradley Aouizerat, Yuanyuan Xiao, Monica Gandhi, Stefan Gebhardt, Louise Warnich

Open access · goldAbstract readComparative Study
In one paragraph

Article in Human genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 54 citations in OpenAlex.

  1. Trial
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  4. Role ofLife (Basel, Switzerland) · 2025
    Article
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  6. Polymorphisms inGenes · 2022
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 3 countries.

Ogechi IkediobiUniversity of California, San Francisco, School of Pharmacy, Department of Clinical Pharmacy, CA 94143, USA. ikediobio@pharmacy.ucsf.edu
Bradley Aouizerat
Yuanyuan Xiao
Monica Gandhi
Stefan Gebhardt
Louise Warnich
University of California, San Francisco · USStellenbosch University · ZAInstitute of Human Genetics · PL

Funding

Multidisciplinary Clinical Research Careers Program(RMI)K12RR023262 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HULLEY, STEPHEN B. · 2005 to 2006
$2.8M
Innovative methods for measuring antiretroviral exposureR01AI065233 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GREENBLATT, RUTH MARTHA · 2005 to 2010
$2.2M
Assessing antiretroviral exposure in diverse populationsK23AI067065 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GANDHI, MONICA · 2005 to 2009
$608k
NCRR NIH HHS K12RR023262NIAID NIH HHS K23 AI067065NIAID NIH HHS R01AI065233
6 · The paper itself

Abstract

Our knowledge of pharmacogenetic variability in diverse populations is scarce, especially in sub-Saharan Africa. To bridge this gap in knowledge, we characterised population frequencies of clinically relevant pharmacogenetic traits in two distinct South African population groups. We genotyped 211 tagging single nucleotide polymorphisms (tagSNPs) in 12 genes that influence antiretroviral drug disposition, in 176 South African individuals belonging to two distinct population groups residing in the Western Cape: the Xhosa (n = 109) and Cape Mixed Ancestry (CMA) (n = 67) groups. The minor allele frequencies (MAFs) of eight tagSNPs in six genes (those encoding the ATP binding cassette sub-family B, member 1 [ABCB1], four members of the cytochrome P450 family [CYP2A7P1, CYP2C18, CYP3A4, CYP3A5] and UDP-glucuronosyltransferase 1 [UGT1A1]) were significantly different between the Xhosa and CMA populations (Bonferroni p < 0.05). Twenty-seven haplotypes were inferred in four genes (CYP2C18, CYP3A4, the gene encoding solute carrier family 22 member 6 [SLC22A6] and UGT1A1) between the two South African populations. Characterising the Xhosa and CMA population frequencies of variant alleles important for drug transport and metabolism can help to establish the clinical relevance of pharmacogenetic testing in these populations.

Indexed as

Biomarkers, PharmacologicalAdultAryl Hydrocarbon HydroxylasesATP Binding Cassette Transporter, Subfamily BATP Binding Cassette Transporter, Subfamily B, Member 1Black PeopleBone Density Conservation AgentsCytochrome P-450 CYP3ACytochrome P-450 Enzyme SystemCytochrome P450 Family 2FemaleGene FrequencyGenetic MarkersGlucuronosyltransferaseHaplotypesHumansABCB1 protein, humanAryl Hydrocarbon HydroxylasesATP Binding Cassette Transporter, Subfamily BATP Binding Cassette Transporter, Subfamily B, Member 1Biomarkers, PharmacologicalBone Density Conservation AgentsCYP2A7 protein, humanCYP2C18 protein, humanCYP3A4 protein, humanCytochrome P-450 CYP3Acytochrome P-450 CYP3A45Cytochrome P-450 Enzyme SystemCytochrome P450 Family 2Genetic MarkersGlucuronosyltransferaseUGT1A1 Enzyme

Identifiers

PMID21712189
PMCPMC3525241
OpenAlexW2118504160

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.